Research on Equipment Failure Rate Forecasting Based on Gray-linear Regression Combined Model

被引：0
|
作者：
Bi, Kunpeng [1 ]
Yan, Guohui [1 ]
Zhang, Hongyuan [1 ]
Tang, Na [2 ]
机构：
[1] PLA, Inst NBC Def, Chem Def Equipment Dept, Beijing, Peoples R China
[2] PLA, Inst NBC Def, Biol & Chem Def Dept, Beijing, Peoples R China
来源：
2016 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-CHENGDU) | 2016年
关键词：
gray-linear regression combined model; GM(1,1) model; equipment; failure rate;
D O I：
暂无
中图分类号：
R-058 [];
学科分类号：
摘要：
The paper researches math model about equipment failure rate, in order to forecast exactly equipment failure rate and advance equipment integrity rate and mission success rate and reserve rationality maintenance material. The paper establishes the gray-linear regression combined model and conceives math formula between equipment failure rate and use time. At the same time, the gray-linear regression combined model is proved to be valid and more accurate forecasting method compare with single forecasting model through practical example.
引用
收藏
页数：5
相关论文
共 50 条
  • [31] Professional manpower forecasting study by Markov chain combined with linear regression
    Huazhong Ligong Daxue Xuebao, 4 (15-17):
  • [32] Combined Forecasting Model of Water Traffic Accidents Based on Gray-BP Neural Network
    Zhao, Yi
    Fan, Zhongzhou
    Zhao, Chong
    2019 4TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (ICITE 2019), 2019, : 34 - 38
  • [33] Research on Apparel Retail Sales Forecasting Based on xDeepFM-LSTM Combined Forecasting Model
    Luo, Tian
    Chang, Daofang
    Xu, Zhenyu
    INFORMATION, 2022, 13 (10)
  • [34] Equipment fault forecasting based on ARMA model
    Zhao, Jie
    Xu, Limei
    Liu, Lin
    2007 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, VOLS I-V, CONFERENCE PROCEEDINGS, 2007, : 3514 - +
  • [35] Research of RMB Exchange Rate Forecasting based on NARX Model with NDF
    Wang Nan
    Hou Tieshan
    PROCEEDINGS OF THE 5TH (2013) INTERNATIONAL CONFERENCE ON FINANCIAL RISK AND CORPORATE FINANCE MANAGEMENT, VOLS I AND II, 2013, : 425 - 434
  • [36] Prediction for Substation Equipment Failure Rate Based on Improved Grey Combination Model
    Wu G.
    Ni X.
    Song Z.
    Gao B.
    Ni, Xuesong (twocargo@126.com), 1600, Science Press (43): : 2249 - 2255
  • [37] Method for Predicting Failure Rate of Airborne Equipment Based on Optimal Combination Model
    Li, WenQiang
    Hou, Ning
    Sun, XiangKun
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2021, 2021
  • [38] Research on Energy Alternation Based on Gaussian Regression Combined Prediction Model
    Sun Haibin
    Lin Tao
    Zhang Shangang
    PROCEEDINGS OF 2019 2ND INTERNATIONAL CONFERENCE ON BIG DATA TECHNOLOGIES (ICBDT 2019), 2019, : 192 - 199
  • [39] A combined short-term wind speed forecasting model based on CNN-RNN and linear regression optimization considering error
    Duan, Jikai
    Chang, Mingheng
    Chen, Xiangyue
    Wang, Wenpeng
    Zuo, Hongchao
    Bai, Yulong
    Chen, Bolong
    RENEWABLE ENERGY, 2022, 200 : 788 - 808
  • [40] MOMENTS OF THE LINEAR FAILURE RATE MODEL
    SALVIA, AA
    IEEE TRANSACTIONS ON RELIABILITY, 1982, 31 (05) : 460 - 460
12345